FunGAP: Fungal Genome Annotation Pipeline using evidence-based gene model evaluation.

作者: Byoungnam Min , Igor V Grigoriev , In-Geol Choi

DOI: 10.1093/BIOINFORMATICS/BTX353

关键词:

摘要: Motivation: Successful genome analysis depends on the quality of gene prediction. Although fungal sequencing and assembly have become trivial, its annotation procedure has not been standardized yet. Results: FunGAP predicts protein-coding genes in a assembly. To attain high-quality models, this program runs multiple predictors, evaluates all predicted genes, assembles models that are highly supported by homology to known sequences. do this, we built scoring function estimate congruency each model based protein or domain homology. Availability implementation: is written Python script available GitHub (https://github.com/CompSynBioLab-KoreaUniv/FunGAP). This software freely only for noncommercial users. Contact: igchoi@korea.ac.kr Supplementary information:Supplementary data at Bioinformatics online.

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